Gate Set Tomography von Nielsen, Erik, Gamble, John King, Rudinger, Kenneth, Scholten, Travis, Young, Kevin, Blume-Kohout, Robin

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Behavior of the maximum likelihood in quantum state tomography von Scholten, Travis L, Blume-Kohout, Robin

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Analyzing the performance of variational quantum factoring on a superconducting quantum processor von Karamlou, Amir H., Simon, William A., Katabarwa, Amara, Scholten, Travis L., Peropadre, Borja, Cao, Yudong

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Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack von Mills, Daniel, Sivarajah, Seyon, Scholten, Travis L., Duncan, Ross

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Behavior of the maximum likelihood in quantum state tomography von Scholten, Travis L., Blume-Kohout, Robin

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Behavior of the Maximum Likelihood in Quantum State Tomography von Scholten, Travis L.

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A Model for Circuit Execution Runtime And Its Implications for Quantum Kernels At Practical Data Set Sizes von Scholten, Travis L, PerryII, Derrick, Washington, Joseph, Glick, Jennifer R, Ward, Thomas

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Assessing the Benefits and Risks of Quantum Computers von Scholten, Travis L, Williams, Carl J, Moody, Dustin, Mosca, Michele, Hurley, William, Zeng, William J, Troyer, Matthias, Gambetta, Jay M

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Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning von Naveh, Annie, Fitzgerald, Imogen, Phan, Anna, Lockwood, Andrew, Scholten, Travis L

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Behavior of the maximum likelihood in quantum state tomography von Scholten, Travis L, Blume-Kohout, Robin

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Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack von Mills, Daniel, Sivarajah, Seyon, Scholten, Travis L, Ross, Duncan

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Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor von Karamlou, Amir H, Simon, William A, Katabarwa, Amara, Scholten, Travis L, Peropadre, Borja, Cao, Yudong

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Gate Set Tomography von Nielsen, Erik, John King Gamble, Rudinger, Kenneth, Scholten, Travis, Young, Kevin, Blume-Kohout, Robin

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Classifying single-qubit noise using machine learning von Scholten, Travis L, Liu, Yi-Kai, Young, Kevin, Blume-Kohout, Robin

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A Model for Circuit Execution Runtime And Its Implications for Quantum Kernels At Practical Data Set Sizes von Scholten, Travis L, Perry, Derrick, Washington, Joseph, Glick, Jennifer R, Ward, Thomas

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Assessing the Benefits and Risks of Quantum Computers von Scholten, Travis L, Williams, Carl J, Moody, Dustin, Mosca, Michele, Hurley, William, Zeng, William J, Troyer, Matthias, Gambetta, Jay M

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Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack: Experimental Data von Mills, Daniel, Sivarajah, Seyon, Scholten, Travis L., Duncan, Ross

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Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning von Naveh, Annie, Fitzgerald, Imogen, Phan, Anna, Lockwood, Andrew, Scholten, Travis L

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Classifying single-qubit noise using machine learning von Scholten, Travis L, Yi-Kai, Liu, Young, Kevin, Blume-Kohout, Robin

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Experimental validation of a shape-memory alloy slat-cove filler: Structural response and computational model development von Patterson, Ryan, Scholten, William, Strganac, Thomas, Turner, Travis, Hartl, Darren

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